Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection

Neural language models such as BERT allow for human-like text paraphrasing. This ability threatens academic integrity, as it aggravates identifying machine-obfuscated plagiarism. We make two contributions to foster the research on detecting these novel machine-paraphrases. First, we provide the firs...

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Vydané v:	2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) s. 226 - 229
Hlavní autori:	Wahle, Jan Philip, Ruas, Terry, Meuschke, Norman, Gipp, Bela
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2021
Predmet:	Benchmark testing BERT Bit error rate Codes Encyclopedias Paraphrase detection Plagiarism Semantics Transformers
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